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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
14/09/2022 |
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Data da última atualização: |
19/03/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
DÍAZ-GUADARRAMA, S.; VARÓN-RAMÍREZ, V. M.; LIZARAZO, I.; GUEVARA, M.; ANGELINI, M.; ARAUJO-CARRILLO, G. A.; ARGEÑAL, J.; ARMAS, D.; BALTA, R. A.; BOLIVAR, A.; BUSTAMANTE, N.; DART, R. de O.; DELL AQUA, M.; ENCINA, A.; FIGUEREDO, H.; FONTES, F.; GUTIÉRREZ-DIAZ, J. S.; JIMÉNEZ, W.; LAVADO, R. S.; BACA, J. F. M.; MENDONÇA-SANTOS, M. de L.; MORETTI, L. M.; MUÑOZ, I. D.; OLIVERA, C.; OLMEDO, G.; OMUTO, C.; ORTIZ, S.; PASCALE, C.; PFEIFFER, M.; RAMOS, I. A.; RÍOS, D.; RIVERA, R.; RODRÍGUEZ, L. M.; RODRÍGUEZ, D. M.; ROSALES, A.; ROSALES, K.; SCHULZ, G.; SEVILLA, V.; TENTI, L. M.; VARGAS, R.; VASQUES, G. M.; YIGINI, Y.; RUBIANO, Y. |
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Afiliação: |
SERGIO DÍAZ-GUADARRAMA, UNIVERSIDAD NACIONAL DE COLOMBIA; VIVIANA M. VARÓN-RAMÍREZ, UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO/CORPORACIÓN COLOMBIANA DE INVESTIGACIÓN AGROPECUARIA AGROSAVIA; IVÁN LIZARAZO, UNIVERSIDAD NACIONAL DE COLOMBIA; MARIO GUEVARA, UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO/UNIVERSITY OF CALIFORNIA/UNITED STATES DEPARTMENT OF AGRICULTURE; MARCOS ANGELINI, FAO; GUSTAVO A. ARAUJO-CARRILLO, CORPORACIÓN COLOMBIANA DE INVESTIGACIÓN AGROPECUARIA AGROSAVIA; JAINER ARGEÑAL, UNIVERSIDAD NACIONAL AUTÓNOMA DE HONDURAS; DAPHNE ARMAS, UNIVERSIDAD DE ALMERÍA; RAFAEL A. BALTA, MINISTERIO DE DESARROLLO AGRARIO Y RIEGO; ADRIANA BOLIVAR, INSTITUTO GEOGRÁFICO AGUSTÍN CODAZZI; NELSON BUSTAMANTE, SERVICIO AGRÍCOLA Y GANADERO; RICARDO DE OLIVEIRA DART, CNPS; MARTIN DELL AQUA, MINISTERIO DE GANADERÍA, AGRICULTURA Y PESCA; ARNULFO ENCINA, UNIVERSIDAD NACIONAL DE ASUNCIÓN; HERNÁN FIGUEREDO, SOCIEDAD BOLIVIANA DE LA CIENCIA DEL SUELO; FERNANDO FONTES, MINISTERIO DE GANADERÍA, AGRICULTURA Y PESCA; JOAN S. GUTIÉRREZ-DIAZ, AARHUS UNIVERSITY; WILMER JIMÉNEZ, MINISTERIO DE AGRICULTURA Y GANADERÍA; RAÚL S. LAVADO, UNIVERSIDAD DE BUENOS AIRES; JESUS FERNANDO MANSILLA BACA, CNPS; MARIA DE LOURDES MENDONÇA SANTOS BREFIN, CNPS; LUCAS M. MORETTI, INSTITUTO NACIONAL DE TECNOLOGÍA AGROPECUARIA; IVÁN D. MUÑOZ, INSTITUTO GEOGRÁFICO AGUSTÍN CODAZZI; CAROLINA OLIVERA, FAO; GUILLERMO OLMEDO, FAO; CHRISTIAN OMUTO, FAO; SOL ORTIZ, SECRETARÍA DE AGRICULTURA Y DESARROLLO RURAL; CARLA PASCALE, MINISTERIO DE AGRICULTURA, GANADERÍA Y PESCA; MARCO PFEIFFER, UNIVERSIDAD DE CHILE; IVÁN A. RAMOS, INSTITUTO DE INVESTIGACIÓN AGROPECUARIA DE PANAMÁ; DANNY RÍOS, UNIVERSIDAD NACIONAL DE ASUNCIÓN; RAFAEL RIVERA, MINISTERIO DE MEDIO AMBIENTE; LADY M. RODRÍGUEZ, INSTITUTO GEOGRÁFICO AGUSTÍN CODAZZI; DARÍO M. RODRÍGUEZ, INSTITUTO NACIONAL DE TECNOLOGÍA AGROPECUARIA; ALBÁN ROSALES, INSTITUTO DE INNOVACIÓN EN TRANSFERENCIA Y TECNOLOGÍA AGROPECUARIA; KENSET ROSALES, MINISTERIO DE AMBIENTE Y RECURSOS NATURALES; GUILLERMO SCHULZ, INSTITUTO NACIONAL DE TECNOLOGÍA AGROPECUARIA; VICTOR SEVILLA, UNIVERSIDAD CENTRAL DE VENEZUELA; LEONARDO M. TENTI, INSTITUTO NACIONAL DE TECNOLOGÍA AGROPECUARIA; RONALD VARGAS, FAO; GUSTAVO DE MATTOS VASQUES, CNPS; YUSUF YIGINI, FAO; YOLANDA RUBIANO, UNIVERSIDAD NACIONAL DE COLOMBIA. |
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Título: |
Improving the Latin America and Caribbean Soil Information System (SISLAC) database enhances its usability and scalability |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
Earth System Science Data, v. 16, n. 3, p. 1229-1246, 2024. |
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DOI: |
https://doi.org/10.5194/essd-16-1229-2024 |
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Idioma: |
Inglês |
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Conteúdo: |
Spatial soil databases can help model complex phenomena in which soils are a decisive factor – for example, evaluating agricultural potential or estimating carbon storage capacity. The Latin America and Caribbean Soil Information System, SISLAC, is a regional initiative promoted by the Food and Agriculture Organization’s (FAO) Latin America and the Caribbean Soil Partnership to contribute to sustainable management of soil. SISLAC includes data from 49 084 soil profiles distributed unevenly across the continent, making it the region’s largest soil database. In addition, there are other soil databases in the region with about 40 000 soil profiles that can be integrated into SISLAC and improve it. However, some problems hinder its usages, such as the quality of the data and their high dimensionality. The objective of this research is evaluate the quality of the SISLAC data and the other available soil databases to generate a new improved version that meets the minimum quality requirements to be used for different purposes or practical applications. The results show that 15 % of the existing soil profiles had an inaccurate description of the diagnostic horizons and 17 % of the additional profiles already existed in SISLAC; therefore, a total of 32 % of profiles were excluded for these two reasons. Further correction of an additional 4.5 % of existing inconsistencies improved overall data quality. The improved database consists of 66 746 profiles and is available for public use at https://doi.org/10.5281/zenodo.7876731 (Díaz-Guadarrama and Guevara, 2023). This revised version of SISLAC data offers the opportunity to generate information that helps decision-making on issues in which soils are a decisive factor. It can also be used to plan future soil surveys in areas with low density or where updated information is required. MenosSpatial soil databases can help model complex phenomena in which soils are a decisive factor – for example, evaluating agricultural potential or estimating carbon storage capacity. The Latin America and Caribbean Soil Information System, SISLAC, is a regional initiative promoted by the Food and Agriculture Organization’s (FAO) Latin America and the Caribbean Soil Partnership to contribute to sustainable management of soil. SISLAC includes data from 49 084 soil profiles distributed unevenly across the continent, making it the region’s largest soil database. In addition, there are other soil databases in the region with about 40 000 soil profiles that can be integrated into SISLAC and improve it. However, some problems hinder its usages, such as the quality of the data and their high dimensionality. The objective of this research is evaluate the quality of the SISLAC data and the other available soil databases to generate a new improved version that meets the minimum quality requirements to be used for different purposes or practical applications. The results show that 15 % of the existing soil profiles had an inaccurate description of the diagnostic horizons and 17 % of the additional profiles already existed in SISLAC; therefore, a total of 32 % of profiles were excluded for these two reasons. Further correction of an additional 4.5 % of existing inconsistencies improved overall data quality. The improved database consists of 66 746 profiles and is available for public use a... Mostrar Tudo |
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Palavras-Chave: |
Carbono orgânico do solo; Digital soil mapping; Mapeamento digital do solo; SISLAC. |
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Thesagro: |
Sistema de Informação; Solo. |
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Thesaurus Nal: |
Information systems; Soil organic carbon. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1146420/1/Improving-the-Latin-America-and-Caribbean-Soil-Information-System-2024.pdf
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Marc: |
LEADER 03885naa a2200733 a 4500
001 2146420
005 2024-03-19
008 2024 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.5194/essd-16-1229-2024$2DOI
100 1 $aDÍAZ-GUADARRAMA, S.
245 $aImproving the Latin America and Caribbean Soil Information System (SISLAC) database enhances its usability and scalability$h[electronic resource]
260 $c2024
520 $aSpatial soil databases can help model complex phenomena in which soils are a decisive factor – for example, evaluating agricultural potential or estimating carbon storage capacity. The Latin America and Caribbean Soil Information System, SISLAC, is a regional initiative promoted by the Food and Agriculture Organization’s (FAO) Latin America and the Caribbean Soil Partnership to contribute to sustainable management of soil. SISLAC includes data from 49 084 soil profiles distributed unevenly across the continent, making it the region’s largest soil database. In addition, there are other soil databases in the region with about 40 000 soil profiles that can be integrated into SISLAC and improve it. However, some problems hinder its usages, such as the quality of the data and their high dimensionality. The objective of this research is evaluate the quality of the SISLAC data and the other available soil databases to generate a new improved version that meets the minimum quality requirements to be used for different purposes or practical applications. The results show that 15 % of the existing soil profiles had an inaccurate description of the diagnostic horizons and 17 % of the additional profiles already existed in SISLAC; therefore, a total of 32 % of profiles were excluded for these two reasons. Further correction of an additional 4.5 % of existing inconsistencies improved overall data quality. The improved database consists of 66 746 profiles and is available for public use at https://doi.org/10.5281/zenodo.7876731 (Díaz-Guadarrama and Guevara, 2023). This revised version of SISLAC data offers the opportunity to generate information that helps decision-making on issues in which soils are a decisive factor. It can also be used to plan future soil surveys in areas with low density or where updated information is required.
650 $aInformation systems
650 $aSoil organic carbon
650 $aSistema de Informação
650 $aSolo
653 $aCarbono orgânico do solo
653 $aDigital soil mapping
653 $aMapeamento digital do solo
653 $aSISLAC
700 1 $aVARÓN-RAMÍREZ, V. M.
700 1 $aLIZARAZO, I.
700 1 $aGUEVARA, M.
700 1 $aANGELINI, M.
700 1 $aARAUJO-CARRILLO, G. A.
700 1 $aARGEÑAL, J.
700 1 $aARMAS, D.
700 1 $aBALTA, R. A.
700 1 $aBOLIVAR, A.
700 1 $aBUSTAMANTE, N.
700 1 $aDART, R. de O.
700 1 $aDELL AQUA, M.
700 1 $aENCINA, A.
700 1 $aFIGUEREDO, H.
700 1 $aFONTES, F.
700 1 $aGUTIÉRREZ-DIAZ, J. S.
700 1 $aJIMÉNEZ, W.
700 1 $aLAVADO, R. S.
700 1 $aBACA, J. F. M.
700 1 $aMENDONÇA-SANTOS, M. de L.
700 1 $aMORETTI, L. M.
700 1 $aMUÑOZ, I. D.
700 1 $aOLIVERA, C.
700 1 $aOLMEDO, G.
700 1 $aOMUTO, C.
700 1 $aORTIZ, S.
700 1 $aPASCALE, C.
700 1 $aPFEIFFER, M.
700 1 $aRAMOS, I. A.
700 1 $aRÍOS, D.
700 1 $aRIVERA, R.
700 1 $aRODRÍGUEZ, L. M.
700 1 $aRODRÍGUEZ, D. M.
700 1 $aROSALES, A.
700 1 $aROSALES, K.
700 1 $aSCHULZ, G.
700 1 $aSEVILLA, V.
700 1 $aTENTI, L. M.
700 1 $aVARGAS, R.
700 1 $aVASQUES, G. M.
700 1 $aYIGINI, Y.
700 1 $aRUBIANO, Y.
773 $tEarth System Science Data$gv. 16, n. 3, p. 1229-1246, 2024.
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Registro original: |
Embrapa Solos (CNPS) |
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Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
02/09/2013 |
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Data da última atualização: |
04/04/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
LOPES-CAITAR, V. S.; CARVALHO, M. C. C. G. de; LUANA M. DARBEN; KUWAHARA, M. K.; NEPOMUCENO, A. L.; DIAS, W. P.; ABDELNOOR, R. V.; MARCELINO-GUIMARÃES, F. C. |
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Afiliação: |
VALÉRIA S. LOPES-CAITAR; MAYRA C. C. G. DE CARVALHO, UENP; MARCIA KAMOGAE KUWAHARA, CNPSO; ALEXANDRE LIMA NEPOMUCENO, SRI; WALDIR PEREIRA DIAS, CNPSO; RICARDO VILELA ABDELNOOR, CNPSO; FRANCISMAR CORREA MARCELINO GUIMARA, CNPSO. |
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Título: |
Genome-wide analysis of the Hsp20 gene family in soybean: comprehensive sequence, genomic organization and expression profile analysis under abiotic and biotic stresses. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
BMC Genomics, v. 14, article 577, 2013. |
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Páginas: |
17 p. |
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ISSN: |
1471-2164 |
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DOI: |
10.1186/1471-2164-14-577 |
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Idioma: |
Inglês |
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Conteúdo: |
The Hsp20 genes are associated with stress caused by HS and other abiotic factors, but have recently been found to be associated with the response to biotic stresses. These genes represent the most abundant class among the HSPs in plants, but little is known about this gene family in soybean. Because of their apparent multifunctionality, these proteins are promising targets for developing crop varieties that are better adapted to biotic and abiotic stresses. Thus, in the present study an in silico identification of GmHsp20 gene family members was performed, and the genes were characterized and subjected to in vivo expression analysis under biotic and abiotic stresses. A search of the available soybean genome databases revealed 51 gene models as potential GmHsp20 candidates. The 51 GmHsp20 genes were distributed across a total of 15 subfamilies where a specific predicted secondary structure was identified. Based on in vivo analysis, only 47 soybean Hsp20 genes were responsive to heat shock stress. Among the GmHsp20 genes that were potentials HSR, five were also cold-induced, and another five, in addition to one GmAcd gene, were responsive to Meloidogyne javanica infection. Furthermore, one predicted GmHsp20 was shown to be responsive only to nematode infection; no expression change was detected under other stress conditions. Some of the biotic stress-responsive GmHsp20 genes exhibited a divergent expression pattern between resistant and susceptible soybean genotypes under M. javanica infection. The putative regulatory elements presenting some conservation level in the GmHsp20 promoters included HSE, W-box, CAAT box, and TA-rich elements. Some of these putative elements showed a unique occurrence pattern among genes responsive to nematode infection. The evolution of Hsp20 family in soybean genome has most likely involved a total of 23 gene duplications. The obtained expression profiles revealed that the majority of the 51 GmHsp20 candidates are induced under HT, but other members of this family could also be involved in normal cellular functions, unrelated to HT. Some of the GmHsp20 genes might be specialized to respond to nematode stress, and the predicted promoter structure of these genes seems to have a particular conserved pattern related to their biological function. MenosThe Hsp20 genes are associated with stress caused by HS and other abiotic factors, but have recently been found to be associated with the response to biotic stresses. These genes represent the most abundant class among the HSPs in plants, but little is known about this gene family in soybean. Because of their apparent multifunctionality, these proteins are promising targets for developing crop varieties that are better adapted to biotic and abiotic stresses. Thus, in the present study an in silico identification of GmHsp20 gene family members was performed, and the genes were characterized and subjected to in vivo expression analysis under biotic and abiotic stresses. A search of the available soybean genome databases revealed 51 gene models as potential GmHsp20 candidates. The 51 GmHsp20 genes were distributed across a total of 15 subfamilies where a specific predicted secondary structure was identified. Based on in vivo analysis, only 47 soybean Hsp20 genes were responsive to heat shock stress. Among the GmHsp20 genes that were potentials HSR, five were also cold-induced, and another five, in addition to one GmAcd gene, were responsive to Meloidogyne javanica infection. Furthermore, one predicted GmHsp20 was shown to be responsive only to nematode infection; no expression change was detected under other stress conditions. Some of the biotic stress-responsive GmHsp20 genes exhibited a divergent expression pattern between resistant and susceptible soybean genotypes under M. ... Mostrar Tudo |
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Thesagro: |
Soja. |
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Thesaurus NAL: |
Soybeans. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/102608/1/genome-wide.pdf
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Marc: |
LEADER 03155naa a2200265 a 4500
001 1965345
005 2022-04-04
008 2013 bl uuuu u00u1 u #d
022 $a1471-2164
024 7 $a10.1186/1471-2164-14-577$2DOI
100 1 $aLOPES-CAITAR, V. S.
245 $aGenome-wide analysis of the Hsp20 gene family in soybean$bcomprehensive sequence, genomic organization and expression profile analysis under abiotic and biotic stresses.$h[electronic resource]
260 $c2013
300 $a17 p.
520 $aThe Hsp20 genes are associated with stress caused by HS and other abiotic factors, but have recently been found to be associated with the response to biotic stresses. These genes represent the most abundant class among the HSPs in plants, but little is known about this gene family in soybean. Because of their apparent multifunctionality, these proteins are promising targets for developing crop varieties that are better adapted to biotic and abiotic stresses. Thus, in the present study an in silico identification of GmHsp20 gene family members was performed, and the genes were characterized and subjected to in vivo expression analysis under biotic and abiotic stresses. A search of the available soybean genome databases revealed 51 gene models as potential GmHsp20 candidates. The 51 GmHsp20 genes were distributed across a total of 15 subfamilies where a specific predicted secondary structure was identified. Based on in vivo analysis, only 47 soybean Hsp20 genes were responsive to heat shock stress. Among the GmHsp20 genes that were potentials HSR, five were also cold-induced, and another five, in addition to one GmAcd gene, were responsive to Meloidogyne javanica infection. Furthermore, one predicted GmHsp20 was shown to be responsive only to nematode infection; no expression change was detected under other stress conditions. Some of the biotic stress-responsive GmHsp20 genes exhibited a divergent expression pattern between resistant and susceptible soybean genotypes under M. javanica infection. The putative regulatory elements presenting some conservation level in the GmHsp20 promoters included HSE, W-box, CAAT box, and TA-rich elements. Some of these putative elements showed a unique occurrence pattern among genes responsive to nematode infection. The evolution of Hsp20 family in soybean genome has most likely involved a total of 23 gene duplications. The obtained expression profiles revealed that the majority of the 51 GmHsp20 candidates are induced under HT, but other members of this family could also be involved in normal cellular functions, unrelated to HT. Some of the GmHsp20 genes might be specialized to respond to nematode stress, and the predicted promoter structure of these genes seems to have a particular conserved pattern related to their biological function.
650 $aSoybeans
650 $aSoja
700 1 $aCARVALHO, M. C. C. G. de
700 1 $aLUANA M. DARBEN
700 1 $aKUWAHARA, M. K.
700 1 $aNEPOMUCENO, A. L.
700 1 $aDIAS, W. P.
700 1 $aABDELNOOR, R. V.
700 1 $aMARCELINO-GUIMARÃES, F. C.
773 $tBMC Genomics$gv. 14, article 577, 2013.
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